The Australian Shark-Incident Database (ASID) for quantifying temporal and spatial patterns of shark-human conflict in Australia
R code to reproduce analyses predicting potential reduction in shark bites in Australia when wearing electronic deterrents
Geospatial analysis of Elephant movement
Combating Human wildlife conflict using AI/ML
R code to analysis deterrent trials for devices used to reduce the incidence of white shark (Carcharodon carcharias) attacks
Human-wildlife conflict (HWC) vulnerability mapping at provincial scale using spatial modelling — identifying high-risk conflict zones to support evidence-based conservation planning and mitigation strategies in Jambi, Indonesia.
WildEye is an intelligent wildlife monitoring and conflict mitigation system designed to detect and track the presence of wild animals—such as tigers, leopards, elephants, and bears—using AI-powered video analysis. It aims to prevent human-wildlife conflicts by providing real-time alerts and actionable insights from surveillance footage
Developed a stable Negative Binomial (NB) Regression model for predictive analysis of over-dispersed bear incident counts. The model achieved an MAE of 2.39, revealing that dynamic weather and temporal factors are the dominant drivers of risk, informing future XGBoost/XAI work.
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